Hostname: page-component-cd9895bd7-gbm5v Total loading time: 0 Render date: 2024-12-26T20:05:43.662Z Has data issue: false hasContentIssue false

The effect of gender norms on the association between violence and hope among girls in the Democratic Republic of the Congo

Published online by Cambridge University Press:  09 January 2017

L. Stark*
Affiliation:
Department of Population and Family Health, Columbia University Mailman School of Public Health, 60 Haven Ave B-4 Suite 432, New York, NY, USA
K. Asghar
Affiliation:
Department of Population and Family Health, Columbia University Mailman School of Public Health, 60 Haven Ave B-4 Suite 432, New York, NY, USA
S. Meyer
Affiliation:
Department of Population and Family Health, Columbia University Mailman School of Public Health, 60 Haven Ave B-4 Suite 432, New York, NY, USA
G. Yu
Affiliation:
New York University College of Nursing, 433 First Avenue, New York, NY, USA
T. Bakemore
Affiliation:
International Rescue Committee, 35/01 Ave P-E Lumumba, Bukavu, DRC
C. Poulton
Affiliation:
International Rescue Committee, Place de la Vieille aux Bles 16, Bruxelles, Belgium
K. Falb
Affiliation:
International Rescue Committee, 122 E 42nd St, New York, NY, USA
*
*Address for correspondence: Dr L. Stark, DrPH, Associate Professor, Department of Population and Family Health, Columbia University, 60 Haven Avenue B-4, New York NY 10032, USA. (Email: [email protected])
Rights & Permissions [Opens in a new window]

Abstract

Background.

Girls at early stages of adolescence are vulnerable to violence victimization in humanitarian contexts, but few studies examine factors that affect girls’ hope in these settings. We assessed attitudes toward traditional gender norms as an effect modifier of the relationship between violence exposure and future orientation in displaced girls.

Methods.

Secondary analysis, using multivariable regression of cross-sectional data from girls ages 10–14 in South Kivu, Democratic Republic of the Congo. Key variables of interest were attitudes toward intimate partner violence (IPV), Children's Hope Scale (CHS) score, and exposure to physical, emotional, and sexual violence within the last 12 months. Additional covariates included age, educational status, and territory.

Results.

The interaction of exposure to violence and attitudes toward IPV magnified the association between violence exposure and lower CHS score for physical violence (β = −0.09, p = 0.040) and unwanted sexual touching (β = −0.20, p = 0.003) among girls age 10–14, when adjusting for other covariates. The interaction of exposure to violence and attitudes toward IPV magnified the association between violence exposure and lower CHS score for forced sex (β = −0.22, p = 0.016) among girls age 13–14, when adjusting for covariates. Findings for emotional violence, any form of sexual violence, and coerced sex trended toward lower CHS scores for girls who reported higher acceptance of IPV, but did not reach significance.

Conclusions.

Findings support the utility of gender norms-transformative programming in increasing resilience of girls who have experienced sexual violence in humanitarian contexts.

Type
Original Research Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s) 2017

Introduction

Exposure to interpersonal violence – the intentional use of physical force or power against another, which may result in injury, death or psychological harm – increases the likelihood that individuals will experience symptoms of depression, post-traumatic stress (PTS), and anxiety (Jaycox et al. Reference Jaycox, Stein, Kataoka, Wong, Fink, Escudero and Zaragoza2002; van der Kolk, Reference Van der Kolk2014). These associations are higher in women than men (Tolin & Foa, Reference Tolin and Foa2006). There is also specific evidence demonstrating that violence victimization is a predictor of poor mental health outcomes in adolescence (Mollica et al. Reference Mollica, Poole, Son, Murray and Tor1997; Turner et al. Reference Turner, Finkelhor and Ormrod2006). Girl survivors, again, are at higher risk for symptoms of depression and PTS than boy survivors (Jaycox et al. Reference Jaycox, Stein, Kataoka, Wong, Fink, Escudero and Zaragoza2002).

Poor mental health, particularly depression, has also been linked to low levels of hope among both adults and children (Kazdin et al. Reference Kazdin, French, Unis, Esveldt-Dawson and Sherick1983; Thimm et al. Reference Thimm, Holte, Brennen and Wang2013). ‘Hope’ is a construct that includes optimism about the future and belief in being able to reach one's goals (Snyder et al. Reference Snyder, Hoza, Pelham, Rapoff, Ware, Danovsky, Highberger, Ribinstein and Stahl1997). Hope can be an indicator of adolescent well-being and resilience (Gilman et al. Reference Gilman, Dooley and Florell2006), and greater levels of hope have been linked to improved health and educational attainment (Gushue et al. Reference Gushue, Scanlan, Pantzer and Clarke2006). Studies have indicated that hope has, in many cases, a stronger association with suicide attempts and overall well-being than does depression (Kazdin et al. Reference Kazdin, French, Unis, Esveldt-Dawson and Sherick1983; Savahl et al. Reference Savahl, Isaacs, Adams, Zeta Carels and September2013).

To date, hope has most often been examined as a moderator or mediator, such as in the relationship between trauma and mental health (Zhang et al. Reference Zhang, Zhao, Li, Hong, Fang, Barnett, Lin, Zhao and Zhang2009; Geiger & Kwon, Reference Geiger and Kwon2010), rather than as an outcome in itself. The limited research that has examined hope as an outcome has examined factors such as self-esteem, depression, social-support, and stress as predictors of hope in adolescence (Yarcheski & Mahon, Reference Yarcheski and Mahon2016). While there is an established evidence base linking violence exposure to mental health sequelae, the relationship between violence exposure and hope has yet to be explored in depth. Given that hope may be a strong determinant of well-being (Savahl et al. Reference Savahl, Isaacs, Adams, Zeta Carels and September2013), and has also been identified as a potentially important protective and promotive factor specifically for children in humanitarian settings (for example, in Eggerman & Panter-Brick, Reference Eggerman and Panter-Brick2010), understanding predictors of hope may contribute to efforts to improve health among survivors of violence.

Of further interest is the role that gender norms may play in moderating the relationship between violence exposure and one's hope about the future. There is an established knowledge base demonstrating that acceptance of more traditional gender roles is associated with lower well-being among adults (van de Vijver, Reference van de Vijver2007), and identification with a traditionally feminine gender role has been linked to higher depression amongst adolescents (Broderick & Korteland, Reference Broderick and Korteland2002). There is also evidence linking attitudinal acceptance of intimate partner violence (IPV) with increased violence exposure in adolescents (Lichter & McCloskey, Reference Lichter and McCloskey2004).

This article is, to our knowledge, a first attempt to examine the moderating effect of attitudes toward IPV on the relationship between violence exposure and hope amongst displaced girls living in South Kivu, Democratic Republic of the Congo (DRC).

Role congruity theory (Eagly & Diekman, Reference Eagly, Diekman, Dovidio, Glick and Rudman2005) asserts that people are ‘rewarded’ for behaving in accordance with the social role ascribed to their gender, and ‘punished’ for behavior that violates those social roles (Diekman & Goodfriend, Reference Diekman and Goodfriend2006). According to this framework, asking individuals about their attitudes toward IPV specifically gauges prescriptive norms on the acceptability of violence (Lichter & McCloskey, Reference Lichter and McCloskey2004; Diekman & Goodfriend, Reference Diekman and Goodfriend2006; Eagly & Koenig, Reference Eagly, Koenig, Borgida and Fiske2008). Changing community-level gender norms is a large component of global violence prevention programming, but the relationship between these prescriptive norms and hope for one's future – especially among those who may have experienced violence victimization – is poorly understood.

Having a better understanding of the relationships between interpersonal violence exposure, prescriptive norms related to acceptability of violence, and future orientation has implications for populations affected by widespread exposure to violence as well as for practitioners seeking to promote well-being for survivors. In this article, we hypothesize that attitudes toward IPV moderate the relationship between violence exposure and hope for one's future.

Methods

Setting

Eastern DRC has been affected by conflict for nearly 20 years. Together, North, and South Kivu are currently home to over 68% of the displaced population of the DRC (UNOCHA, 2008). The proliferation of armed groups using sexual violence as a targeted weapon, separation of families, the collapse of traditional community protection mechanisms, and displacement have all contributed to increased risk for adolescent girls (Bell, Reference Bell2006; Stark et al. Reference Stark, Rubenstein, Mansourian, Spencer, Noble and Chisolm-Straker2016). According to the Demographic and Health Survey (2007), 24% of girls aged 15–19 years had already begun child-bearing. Such high adolescent fertility rates have important negative consequences for the health and well-being of adolescent girls (Hindin & Fatusi, Reference Hindin and Fatusi2009). Additionally, girls’ exclusion from decision-making processes and lack of control over their own lives also limit their physical, emotional, and social development.

Participants

Participants were from a baseline evaluation of the Creating Opportunities through Mentorship, Parental Involvement, and Safe Spaces (COMPASS) program, conducted in 14 villages across the Kabare, Uvira, and Walungu districts in South Kivu, DRC. Girls age 10–14 who spoke French, Swahili, or Mashi, were invited to participate in the program, and completed a baseline survey prior to starting the program. In total, 929 girls were assessed for eligibility, 886 were found to be eligible, and 869 girls completed the survey (98% completion rate). Recruitment and enrollment are described in detail elsewhere (see Falb et al. Reference Falb, Tanner, Ward, Erskine, Noble, Assazenew, Bakomere, Graybill, Lowry, Mallinga, Neiman, Poulton, Robinette, Sommer and Stark2016).

Procedure

Girls who had registered for the life skills program were invited to complete interviews at established safe spaces in each of the 14 villages. Consent was obtained from caregivers, and assent from girls, prior to completing the survey. A confidential survey, taking approximately 1 h, was administered by data collectors matched to participants by gender and language. Less sensitive questions were administered using Computer-Assisted Personal Interview. Adolescents age 13–14 (N = 377) answered more sensitive questions on violence, relationship status, and sexual health using Audio Computer-Assisted Self-Interview programming. Respondents were provided information about available referral services after the interview. All components of the research were reviewed and approved by Columbia University's Human Subjects Protection committee, and by the Ministry of Gender in the DRC.

Measures

Demographic data were collected on age, educational status and relationship status. Age was measured as a continuous variable. Years of education completed was measured as a continuous variable, with girls who reported never attending school categorized as completing zero years of school. Only girls ages 13–14 were asked about their relationship status, based on piloting feedback that these questions were deemed sensitive for younger girls as they infer sexual activity. Respondents age 13–14 who reported living with their husband or a ‘man as if married’ were categorized as living with an intimate partner.

Binary questions on violence were adapted from ICAST and VACS questionnaires (Reza et al. Reference Reza, Brieding, Gulaid, Mercy, Clanton, Mthethwa, Bamrah, Dahlberg and Anderson2009; Zolotor et al. Reference Zolotor, Runyan, Dunne, Jain, Peturs, Ramirez, Volkova, Deb, Lidchi, Muhammad and Isaeva2009). Physical violence was defined as being hit or beaten in the previous 12 months. Emotional violence was operationalized as being screamed at loudly or aggressively in the previous 12 months. Sexual violence was operationalized as experiencing unwilling (forced) sex, unwanted sexual touching, or verbal coercion (using influence or authority to threaten or pressure respondent to have sex) in the previous 12 months. As above, only girls age 13–14 were asked about forced sex.

Prescriptive norms related to attitudes about IPV were assessed through a composite variable summing response to five items from UNICEF's MICS (Multiple Indicator Cluster Survey) module. The module asks about acceptability of husbands beating wives for failing to adhere to traditional gender norms, not caring for her children in the proper way, and refusing to have sex, for example. The composite variable has a range of 0–5, where 0 indicates disagreement with all five statements on acceptability of IPV and 5 indicates agreement with all five statements.

Finally, hope for the future was assessed by the six-item Children's Hope Scale (CHS: Snyder et al. Reference Snyder, Hoza, Pelham, Rapoff, Ware, Danovsky, Highberger, Ribinstein and Stahl1997). The CHS was developed to measure hope, conceptualized as the belief in one's ability to initiate and work toward goals, and is meant to capture the underlying components of a ‘pathway’ – perceived ability to produce a feasible route to the goal, and ‘agency’ or motivation to follow said route (Snyder et al. Reference Snyder, Hoza, Pelham, Rapoff, Ware, Danovsky, Highberger, Ribinstein and Stahl1997). The instrument uses a five-point Likert scale, and scores are determined by averaging the six items for each participant.

The CHS was originally normed in different adolescent populations (ages 9–14) in the USA, and showed good internal consistency (Cronbach's α = 0.77) and test–retest reliability after 1 month (r = 0.71, p < 0.001) (Snyder et al. Reference Snyder, Hoza, Pelham, Rapoff, Ware, Danovsky, Highberger, Ribinstein and Stahl1997). A subsequent validation study in a US population also showed high internal consistency (α = 0.83–0.84) (Valle et al. Reference Valle, Huebner and Suldo2004). The scale shows fair convergent validity with measures of perceived competence and control, self-worth and self-esteem, and resilience (Snyder et al. Reference Snyder, Hoza, Pelham, Rapoff, Ware, Danovsky, Highberger, Ribinstein and Stahl1997; Jovanović, Reference Jovanović2013).

Several studies had previously employed the CHS to measure psychosocial wellbeing in humanitarian settings. These include conflict-afflicted regions of Burundi, Indonesia, Israel, Lebanon, and Nepal (Kasler et al. Reference Kasler, Dahan and Elias2008; Tol et al. Reference Tol, Komproe, Susanty, Jordans, Macy and De Jong2008, Reference Tol, Komproe, Jordans, Ndayisha, Ntamutumba, Sipsma, Smallegange, Macy and de Jong2014; Jordans et al. Reference Jordans, Komproe, Tol, Kohrt, Luitel, Macy and de Jong2010; Morley & Kohrt, Reference Morley and Kohrt2013; Ayyash et al. Reference Ayyash, Sanchez-Ruiz and Barbari2016). Psychometric properties of the scale were demonstrated in several of these populations, with fairly high internal consistency (α range 0.622–0.71) and test–retest reliability (r range 0.667–0.95) (Tol et al. Reference Tol, Komproe, Susanty, Jordans, Macy and De Jong2008, Reference Tol, Komproe, Jordans, Ndayisha, Ntamutumba, Sipsma, Smallegange, Macy and de Jong2014; Jordans et al. Reference Jordans, Komproe, Tol, Kohrt, Luitel, Macy and de Jong2010; Ayyash et al. Reference Ayyash, Sanchez-Ruiz and Barbari2016).

In the present study, cognitive interviewing techniques were used to test the scales in a pilot sample prior to baseline data collection (Falb et al. Reference Falb, Tanner, Ward, Erskine, Noble, Assazenew, Bakomere, Graybill, Lowry, Mallinga, Neiman, Poulton, Robinette, Sommer and Stark2016).

Statistical analyses

Linear regression was used to assess independent relationships between: (1) forms of violence and CHS score; (2) attitudes toward IPV and CHS score; and (3) forms of violence and attitudes toward IPV. Linear regression was also used to examine the moderating effect of attitudes toward IPV on the association between exposure to violence and hope score after adjusting for age, education level, and district. Living with an intimate partner was added to the model examining forced sex. Adjusted analyses included multivariable linear regression. Since the primary focus of this secondary analysis was to determine direction rather than magnitude of the hypothesized relationships, the regressions did not use standardized betas. All analyses were completed using SAS Version 9.4 (SAS Institute, Cary, NC).

Results

The average age of study participants was 12.03 years (s.d. 1.50), and 80% of girls (N = 691) had ever attended school. Of the 377 girls ages 13–14 who were asked about their relationship status, 16.44% reported living with their husband or living with a man as if married. Almost 70% of girls reported being unmarried and 6.63% of girls were married but not living with their partner (for further demographic information on study participants, see Stark et al. Reference Stark, Rubenstein, Mansourian, Spencer, Noble and Chisolm-Straker2016, forthcoming).

In terms of attitudes and experiences of violence, nearly 15% of girls (N = 127) reported that IPV was acceptable in all examples provided. Approximately 40% of participants reported being hit or beaten in the last 12 months (N = 340), and 39.86% reported emotional violence (N = 346). Twenty-three per cent of the sample reported experiencing sexual violence (N = 200), which included 13.58% of girls who reported experiencing unwanted sexual touching (N = 118); 12.77% who reported having been coerced into sex (N = 111); and (among girls age 13–14) 15.38% who reported having experienced forced sex (N = 58).

Average score on the CHS was 2.34 (range 1–5), demonstrating a low overall self-perception of girls’ ability to achieve goals. The alpha for this scale was 0.84, indicating high reliability in this context.

Adolescent girls who had been exposed to violence in the previous 12 months had significantly lower hope scores than those who had not been exposed to violence (p < 0.01 for all associations, see Table 1). Violence exposure was also significantly associated with more accepting attitudes toward IPV. Additionally, adolescents who held more accepting attitudes toward IPV were significantly more likely to report lower levels of hope (β = −0.09, p < 0.001). As such, attitudes toward IPV met the criteria for effect modification.

Table 1. Estimates of independent relationships between violence exposure, hope, and attitudes toward intimate partner violence (IPV)

a Girls age 13–14 only.

Each form of violence (physical violence, emotional violence, and any form of sexual violence, including unwanted sexual touching, coerced sex, and forced sex) was placed into a model with attitudes toward IPV (AIPV) and an interaction term for violence and IPV attitudes:

$${\rm CHS} = {\rm Violence} + {\rm AIPV} + {\rm Violence} \times {\rm AIPV}$$

Results of this unadjusted model are in Table 2. The interaction between violence exposure and attitudes toward IPV modified the relationship between violence exposure and hope for respondents who experienced any form of sexual violence (p = 0.021), including unwanted sexual touching (p = 0.002) and forced sex (p = 0.015) in the previous 12 months. The interaction was associated with marginally lower scores on the CHS for physical violence (p = 0.051) and emotional violence (p = 0.055). While the interaction was associated with lower scores on the CHS for verbally coerced sex, this association did not achieve significance.

Table 2. Effect of violence exposure and attitudes toward intimate partner violence (IPV) on hope a

a Unadjusted model, examining interaction of attitudes toward IPV with the six different forms of violence measured.

Unadjusted models that had demonstrated significant associations were further examined through adjusted analysis. Since the interaction terms for attitudes toward IPV and physical and emotional violence exposure were marginally significant, these two forms of violence exposure were also examined in the adjusted analysis. Because lower age and fewer years of education completed were independently associated with most violence exposures, and score on the CHS (age p = 0.330, school p ≦ 0.001), these factors were added into the model. District was also added into the model to adjust for other potential social norms and community-level factors that may influence girls’ attitudes toward IPV, with Walungu as the reference group. The adjusted model is as follows:

$$\eqalign{{\rm CHS} & = {\rm Violence} + {\rm AIPV} + {\rm Age} + {\rm Education} + {\rm Kabare} \cr & \quad + {\rm Uvira} + {\rm Violence} \times {\rm AIPV}.}$$

Additionally, a modified model was developed to examine the relationship between forced sex, attitudes toward IPV, and hope for girls age 13–14. Because intimate partners are the primary perpetrators of violence in this sample (Stark et al., forthcoming), and questions about living with an intimate partner were only asked to girls age 13–14, the original adjusted model was adapted to adjust for living with an intimate partner, and is as follows:

$$\eqalign{{\rm CHS} & = {\rm FS} + {\rm AIPV} + {\rm Age} + {\rm Education} + {\rm Partner} \cr & \quad + {\rm Kabare} + {\rm Uvira} + {\rm FS} \times {\rm AIPV}}$$

Residual graphs for the interaction model (Table 3) demonstrated random distribution of residuals, and non-violation of the homoscedasticity assumption. A one-point increase in attitudes accepting of IPV was associated with a 0.09-point reduction in hope. Thus, the acceptance of IPV magnified and strengthened the negative association of the CHS score difference between non-exposure (β of physical violence = −0.09) and exposure to physical violence (β of physical violence + β of interaction = −0.18), after controlling for age, years of school completed, and district. In the adjusted model, the interaction between exposure to emotional violence and attitudes toward IPV was not a significant moderator of CHS score.

Table 3. Effect of exposure to sexual violence and attitudes toward intimate partner violence (IPV) on hope, adjusted a , b

a Adjusted for age, education status, and district.

b Since the interaction term did not significantly modify the relationship between coerced sex and hope in the unadjusted model, these forms of violence were excluded from analysis in the adjusted model.

c Girls age 13–14 only. Adjusted for living with intimate partner in addition to age and education status.

Similarly, a one-point increase in attitudes accepting of IPV was associated with a 0.20-point reduction in hope. This again magnified and strengthened the negative association of the CHS score difference between non-exposure (β = 0.31) and exposure to unwanted sexual touching (β of unwanted touching + β of interaction = 0.07), after controlling for age, years of school completed, and district. In the adjusted model, the interaction between exposure to any form of sexual violence and attitudes toward IPV was not a significant moderator of CHS score.

Among girls age 13–14, a one-point increase in attitudes accepting of IPV was associated with a 0.22-point reduction, thus magnifying and strengthening the negative association of the CHS score difference between non-exposure (β = 0.28) and exposure to forced sex (β of forced sex + β of interaction = 0.06), after controlling for age, years of school completed, district, and living with an intimate partner.

Discussion

Adolescent girls in conflict settings are an especially vulnerable population. Conflict and displacement can exacerbate food insecurity, interrupt medical care, reduce family resources and communal cohesion, and increase exposure to interpersonal violence (Mels et al. Reference Mels, Derluyn, Broekaert and Rosseel2010). Violence prevention and response efforts in conflict settings often focus on violence against adult women rather than girls (Bass et al. Reference Bass, Annan, McIvor Murray, Kaysen, Griffiths, Cetinoglu, Wachter, Murray and Bolton2013; Gupta et al. Reference Gupta, Falb, Lehmann, Kpebo, Xuan, Hossain, Zimmerman, Watts and Annan2013). Yet, in our study, nearly one in four girls aged 10–14 reported sexual violence victimization in the last 12 months – a rate similar to the lifetime prevalence of childhood sexual abuse for girls under age 18 in developed contexts (Finkelhor et al. Reference Finkelhor, Hotaling, Lewis and Smith1990), and of sexual violence victimization among women ages 15–49 in the DRC (Peterman et al. Reference Peterman, Palermo and Bredenkamp2011). These findings demonstrate that girls age 10–14 are particularly vulnerable and that experiences of violence are associated with lowered hope among these girls. As such, their violence exposure combined with low reported future orientation scores indicate a need for interventions to build resilience amongst this population.

Our findings further reveal that attitudes toward IPV have a moderating effect on the relationship between some forms of violence exposure and hope. Specifically, adolescent girls who reported IPV to be acceptable have significantly lower hope scores given exposure to physical violence, unwanted sexual touching, and forced or non-consensual sex, even after adjusting for factors such as age and educational status. These findings indicate that ascription to prescriptive gender norms have negative effects on hope for girls who have experienced physical and sexual violence victimization.

In role congruity theory, violence may be used as punishment for violating gender roles (Diekman & Goodfriend, Reference Diekman and Goodfriend2006). Our study indicates that the relationship between descriptive norms (violence experienced) and prescriptive norms (belief in acceptability of violence) has an inverse relationship to hope. In other words, agreement with attitudes accepting of IPV, coupled with physical or sexual violence victimization, indicates a more negative future orientation (including a view of future self). Following role congruity theory, we might hypothesize that girls who experience violence and accept traditional gendered ideas about IPV may internalize beliefs of inferiority and feel that they ‘deserve’ violence. This may in turn contribute to feelings of low self-worth and low hope for the future. Future studies might usefully explore these pathways.

These findings have important implications for violence prevention and response programming. First, community campaigns and targeted programming have tended in recent years to focus on shifting attitudes and norms about violence as a form of primary prevention (Heise, Reference Heise2011). Our findings suggest that such programming may facilitate tertiary prevention efforts as well, minimizing impact of sexual violence and restoring health and wellness more quickly (Chrisler & Ferguson, Reference Chrisler and Ferguson2006). Even when empowerment programs have shown little demonstrated effect on reducing exposure to violence (Heise, Reference Heise2011), these programs often include activities that challenge traditional gender norms and acceptability of domestic or IPV. Our findings suggest that addressing gender norms may be protective after experiencing some forms of physical and sexual violence in adolescent populations. While primary prevention efforts targeted to girls and influential people in their lives remain critical, potential secondary effects of empowerment programs, such as changing attitudes toward gender norms, may foster resilience in the face of violence and should not be discounted.

Various studies, including the present research, have identified associations between exposure to violence and adverse mental health outcomes. A systematic review of risk and protective factors for children affected by conflict found that ‘[e]xposure to violence is the factor with the strongest evidence base for the risk of subsequent psychological disturbances’ (Reed et al. Reference Reed, Fazel, Jones, Panter-Brick and Stein2012). Given the high prevalence of violence exposure for girls in conflict-affected settings, known associations between violence exposure and adverse mental health outcomes, and evidence of the significant burden of mental disorders amongst children affected by armed conflict (Attanayake et al. Reference Attanayake, McKay, Joffres, Singh, Burkle and Mills2009), improved understanding of factors that may ameliorate or worsen well-being for adolescent girls in these contexts is vital. Conflict-affected settings are replete risk factors for adverse mental health outcomes for girls, making improved understanding of processes and pathways toward mental health outcomes a key research priority (Tol et al. Reference Tol, Patel, Tomlinson, Baingana, Galappatti, Panter-Brick, Silove, Sondorp, Wessells and van Ommeren2011). Poor mental health in adolescence remains a public health priority given associations with risky sexual behavior and substance and alcohol use, as well as life-long adverse health outcomes (Patel et al. Reference Patel, Flisher, Hetrick and McGorry2007).

A growing body of literature has noted the importance of understanding resilience in the context of adversity experienced by adolescents affected by war (for example, Tol et al. Reference Tol, Song and Jordans2013). A focus on resilience in situations of armed conflict can shift focus from a ‘deficits’ model – assuming that children will experience mental health problems – toward focusing on the resources children, families and communities engage to address problems.

The findings from the present study also have implications for mental health and psychosocial programming for conflict-affected adolescent girls. Hope itself may be a key component of resilience, and hope has been proposed as one of five empirically supported principles that should be used to guide intervention development to address traumatic experiences, prevent adverse mental health outcomes and promote well-being (Hobfoll et al. Reference Hobfoll, Watson, Bell, Bryant, Brymer, Friedman, Friedman, Gersons, de Jong, Layne, Maguen, Neria, Norwood, Pynoos, Reissman, Ruzek, Shalev, Solomon, Steinberg and Ursano2007). Psychosocial interventions – specifically, classroom-based interventions implemented for conflict-affected children in Burundi, Indonesia, Nepal, and Sri Lanka – have shown positive impacts on hope, and demonstrated benefits as a preventative intervention (for example, Jordans et al. Reference Jordans, Komproe, Tol, Kohrt, Luitel, Macy and de Jong2010; Tol et al. Reference Tol, Komproe, Jordans, Ndayisha, Ntamutumba, Sipsma, Smallegange, Macy and de Jong2014). A systematic review of the impact of mental health and psychosocial interventions on conflict-affected children has similarly identified effective approaches targeting individual children, yet indicates a need to further focus on strengthening community and family supports (Jordans et al. Reference Jordans, Pigott and Tol2016). Indeed, while mental health and psychosocial services in humanitarian settings often focus on individual clinical outcomes, evidence points to the need to address risk factors that operate at family and community-levels (Miller & Jordans, Reference Miller and Jordans2016). Given the relationships between violence exposure, prescriptive gender norms and hope identified in our study, findings support the potential for development of combined violence prevention and holistic psychosocial interventions to improve adolescent girls’ resilience in situations of extreme adversity.

Limitations of this study include using a single indicator for physical and emotional violence. The cross-sectional nature of this study limits ability to confirm temporal associations. It is possible that the direction of association between the variables examined may not be as hypothesized; however, other studies have found that attitudes toward IPV precede adolescent violence exposure (Lichter & McCloskey, Reference Lichter and McCloskey2004). Also lending support to our hypothesis, this study's violence indicators asked about past-year exposure, while indicators for hope measured feelings at the time of the study. While the authors attempted to account for community-level factors that may influence attitudes toward IPV through inclusion of district-level variables, there may have been other individual-level factors that influenced attitudes toward IPV and hope that were not measured. Lastly, the study sample may have been subject to selection bias, since selection criteria included enrollment in a life skills program, and may have led to exclusion of girls with more limited access or support to participate in the program.

Conclusion

Promotion of equitable gender norms in conflict-affected settings has been found to be a promising practice to reduce violence against women (Gupta et al. Reference Gupta, Falb, Lehmann, Kpebo, Xuan, Hossain, Zimmerman, Watts and Annan2013). Future research might usefully explore whether these programs have secondary effects on reducing stigma and improving hope among adolescent girls who experience sexual violence. Continued financial, programming, and research investments must be made to promote the empowerment, resilience, and safety of adolescent girls in eastern DRC and other fragile contexts. Addressing accepting attitudes toward IPV may be one such mechanism to improve the prevention and response to violence against adolescent girls in conflict-affected settings.

Acknowledgements

This document is an output from a project funded with UK aid from the UK Department for International Development (DFID) for the benefit of developing countries (grant no. 40080602). However, the views expressed and information contained in it are not necessarily those of or endorsed by DFID, which can accept no responsibility for such views or information or for any reliance placed on them.

Declaration of Interest

None.

Ethical Standards

The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008.

References

Attanayake, V, McKay, R, Joffres, M, Singh, S, Burkle, F Jr., Mills, E (2009). Prevalence of mental disorders among children exposed to war: a systematic review of 7,920 children. Medicine, Conflict, and Survival 25, 419.CrossRefGoogle Scholar
Ayyash, H, Sanchez-Ruiz, M-J, Barbari, ML (2016). Resiliency predicts academic performance of Lebanese adolescents over demographic variables and hope. Learning and Individual Differences 48, 916.Google Scholar
Bass, JK, Annan, J, McIvor Murray, S, Kaysen, D, Griffiths, S, Cetinoglu, T, Wachter, K, Murray, LK, Bolton, PA (2013). Controlled trial of psychotherapy for Congolese survivors of sexual violence. New England Journal of Medicine 368, 21822191.Google Scholar
Bell, M (2006). Child alert: Democratic Republic of Congo (http://www.unicef.org/childalert/drc/content/ChildAlertDRCen.pdf).Google Scholar
Broderick, PC, Korteland, C (2002). Coping style and depression in early adolescence: relationships to gender, gender role, and implicit beliefs. Sex Roles 46, 201213.Google Scholar
Chrisler, JC, Ferguson, S (2006). Violence against women as a public health issue. Annals of the New York Academy of Sciences 1087, 235249.Google Scholar
Demographic and Health Survey (2007). Congo Democratic Republic: Standard DHS, 2007, August 2008.Google Scholar
Diekman, AB, Goodfriend, W (2006). Rolling with the changes: a role congruity perspective on gender norms. Psychology of Women Quarterly 30, 369383.Google Scholar
Eagly, AH, Diekman, AB (2005). What is the problem? Prejudice as an attitude in-context. In On the nature of prejudice: Fifty years after Allport (ed. Dovidio, J. F., Glick, P. and Rudman, L. A.), pp. 1925. Blackwell: Malden, MA.Google Scholar
Eagly, AH, Koenig, AM (2008). Gender prejudice: on the risks of occupying incongruent roles. In Beyond Common Sense: Psychological Science in the Courtroom (ed. Borgida, E. and Fiske, S. T.), pp. 6382. Blackwell: Malden, MA.Google Scholar
Eggerman, M, Panter-Brick, C (2010). Suffering, hope, and entrapment: resilience and cultural values in Afghanistan. Social Science and Medicine 71, 7183.CrossRefGoogle ScholarPubMed
Falb, K, Tanner, S, Ward, L, Erskine, D, Noble, E, Assazenew, A, Bakomere, T, Graybill, E, Lowry, C, Mallinga, P, Neiman, A, Poulton, C, Robinette, K, Sommer, M, Stark, L (2016). Creating opportunities through mentorship, parental involvement, and safe spaces (COMPASS) program: multi-country study protocol to protect girls from violence in humanitarian settings. BMC Public Health 16, 110.Google Scholar
Finkelhor, D, Hotaling, G, Lewis, IA, Smith, C (1990). Sexual abuse in a national survey of adult men and women: prevalence, characteristics and risk factors. Child Abuse and Neglect 14, 1928.Google Scholar
Geiger, KA, Kwon, P (2010). Rumination and depressive symptoms: evidence for the moderating role of hope. Personality and Individual Differences 49, 391395.Google Scholar
Gilman, R, Dooley, J, Florell, D (2006). Relative levels of hope and their relationship with academic and psychological indicators among adolescents. Journal of Social and Clinical Psychology 25, 166178.Google Scholar
Gupta, J, Falb, KL, Lehmann, H, Kpebo, D, Xuan, Z, Hossain, M, Zimmerman, C, Watts, C, Annan, J (2013). Gender norms and economic empowerment intervention to reduce intimate partner violence against women in rural Cote d'Ivoire: a randomized controlled pilot study. BMC International Health and Human Rights 13, 46.Google Scholar
Gushue, GV, Scanlan, KLR, Pantzer, KM, Clarke, CP (2006). The relationship of career decision-making self-efficacy, vocational identity, and career exploration behavior in African-American high school students. Journal of Career Development 33, 1928.Google Scholar
Heise, L (2011). What Works to Prevent Partner Violence: An Evidence Overview. STRIVE Research Consortium. London School of Hygiene and Tropical Medicine, London UK.Google Scholar
Hindin, MJ, Fatusi, AO (2009). Adolescent sexual and reproductive health in developing countries: an overview of trends and interventions. International Perspectives on Sexual and Reproductive Health 35, 5862.Google Scholar
Hobfoll, SE, Watson, P, Bell, CC, Bryant, RA, Brymer, MJ, Friedman, MJ, Friedman, M, Gersons, BP, de Jong, JT, Layne, CM, Maguen, S, Neria, Y, Norwood, AE, Pynoos, RS, Reissman, D, Ruzek, JI, Shalev, AY, Solomon, Z, Steinberg, AM, Ursano, RJ (2007). Five essential elements of immediate and mid-term mass trauma intervention: empirical evidence. Psychiatry 70, 283315.Google Scholar
Jaycox, LH, Stein, BD, Kataoka, SH, Wong, M, Fink, A, Escudero, P, Zaragoza, C (2002). Violence exposure, posttraumatic stress disorder, and depressive symptoms among recent immigrant schoolchildren. Journal of the American Academy of Child and Adolescent Psychiatry 41, 11041110.Google Scholar
Jordans, MJD, Komproe, IH, Tol, WA, Kohrt, BA, Luitel, NP, Macy, RD, de Jong, TVM (2010). Evaluation of a classroom-based psychosocial intervention in conflict-affected Nepal: a cluster randomized controlled trial. Journal of Child Psychology and Psychiatry 51, 818826.Google Scholar
Jordans, MJD, Pigott, H, Tol, WA (2016). Interventions for children affected by armed conflict: a systematic review of mental health and psychosocial support in low- and middle-income countries. Current Psychiatry Reports 18(9). Published online January 14, 2016. doi: 10.1007/s11920-015-0648-z.Google Scholar
Jovanović, V (2013). Evaluation of the children's hope scale in Serbian adolescents: dimensionality, measurement invariance across gender, convergent and incremental validity. Child Indicators Research 6, 797811.CrossRefGoogle Scholar
Kasler, J, Dahan, J, Elias, MJ (2008). The relationship between sense of hope, family support and post-traumatic stress disorder among children: the case of young victims of rocket attacks in Israel. Vulnerable Children and Youth Studies 3, 182191.Google Scholar
Kazdin, AE, French, NH, Unis, AS, Esveldt-Dawson, E, Sherick, RB (1983). Hopelessness, depression, and suicidal intent among psychiatrically disturbed inpatient children. Journal of Consulting and Clinical Psychology 51, 504510.CrossRefGoogle ScholarPubMed
Lichter, EL, McCloskey, LA (2004). The effects of childhood exposure to martial violence on adolescent gender-role beliefs and dating violence. Psychology of Women Quarterly 28, 344357.Google Scholar
Mels, C, Derluyn, I, Broekaert, E, Rosseel, Y (2010). The psychological impact of forced displacement and related risk factors on Eastern Congolese adolescents affected by war. Journal of Child Psychology and Psychiatry 51, 10961104.CrossRefGoogle ScholarPubMed
Miller, KE, Jordans, MJD (2016). Miller determinants of children's mental health in war-torn settings: translating research into action. Current Psychiatry Reports 18(58). Published online before print April 18, 2016. doi: 10.1007/s11920-016-0692-3.Google Scholar
Mollica, RF, Poole, C, Son, L, Murray, CC, Tor, S (1997). Effects of war trauma on Cambodian refugee adolescents’ functional health and mental health status. Journal of the American Academy of Child and Adolescent Psychology 36, 10981106.Google Scholar
Morley, CA, Kohrt, BA (2013). Impact of peer support on PTSD, hope, and functional impairment: a mixed-methods study of child soldiers in Nepal. Journal of Aggression, Maltreatment and Trauma 22, 714734.CrossRefGoogle Scholar
Patel, V, Flisher, AJ, Hetrick, S, McGorry, P (2007). Mental health of young people: a global public health challenge. Lancet 369, 13021313.Google Scholar
Peterman, A, Palermo, T, Bredenkamp, C (2011). Estimates and determinants of sexual violence against women in the Democratic Republic of Congo. American Journal of Public Health 101, 10601067.Google Scholar
Reed, RV, Fazel, M, Jones, L, Panter-Brick, C, Stein, A (2012). Mental health of displaced and refugee children resettled in low-income and middle-income countries: risk and protective factors. Lancet 379, 250265.Google Scholar
Reza, A, Brieding, MJ, Gulaid, J, Mercy, JA, Clanton, C, Mthethwa, Z, Bamrah, S, Dahlberg, L, Anderson, M (2009). Sexual violence and its health consequences for female children in Swaziland: a cluster survey study. Lancet 373, 19661972.CrossRefGoogle ScholarPubMed
Savahl, S, Isaacs, S, Adams, S, Zeta Carels, C, September, R (2013). An exploration into the impact of exposure to community violence and hope on children's perceptions of well-being: a South African Perspective. Child Indicators Research 6, 579592.Google Scholar
Snyder, CR, Hoza, B, Pelham, WE, Rapoff, M, Ware, L, Danovsky, M, Highberger, L, Ribinstein, H, Stahl, KJ (1997). The development and validation of the Children's Hope Scale. Journal of Pediatric Psychology 22, 399421.Google Scholar
Stark, L, Rubenstein, B, Mansourian, H, Spencer, C, Noble, E, Chisolm-Straker, M (2016). Estimating child separation in emergencies: results from North Kivu. Child Abuse and Neglect 52, 3846.Google Scholar
Thimm, JC, Holte, A, Brennen, T, Wang, CEA (2013). Hope and expectancies for future events in depression. Frontiers in Psychology 4, 470.Google Scholar
Tol, WA, Komproe, IH, Jordans, MJD, Ndayisha, A, Ntamutumba, P, Sipsma, H, Smallegange, ES, Macy, RD, de Jong, J (2014). School-based mental health intervention for children in war-affected Burundi: a cluster randomized trial. BMC Medicine 12, 56.Google Scholar
Tol, WA, Komproe, IH, Susanty, D, Jordans, MJD, Macy, RD, De Jong, J (2008). School-based mental health intervention for children affected by political violence in Indonesia: a cluster randomized trial. JAMA 300, 655662.CrossRefGoogle ScholarPubMed
Tol, WA, Patel, V, Tomlinson, M, Baingana, F, Galappatti, A, Panter-Brick, C, Silove, D, Sondorp, E, Wessells, M, van Ommeren, M (2011). Research priorities for mental health and psychosocial support in humanitarian settings. PLoS Med 8, e1001096.Google Scholar
Tol, WA, Song, S, Jordans, MJD (2013). Annual research review: resilience and mental health in children and adolescents living in areas of armed conflict – a systematic review of findings in low- and middle-income countries. Journal of Child Psychology and Psychiatry 54, 445460.Google Scholar
Tolin, DF, Foa, EB (2006). Sex differences in trauma and posttraumatic stress disorder: a quantitative review of 25 years of research. Psychological Bulletin 132, 959992.Google Scholar
Turner, HA, Finkelhor, D, Ormrod, R (2006). The effect of lifetime victimization on the mental health of children and adolescents. Social Science and Medicine 62, 1327.Google Scholar
UNOCHA (2008). Population Movements in Eastern Democratic Republic of the Congo, July 2008.Google Scholar
Valle, MF, Huebner, ES, Suldo, SM (2004). Further evaluation of the Children's Hope Scale. Journal of Psychoeducational Assessment 22, 320337.Google Scholar
Van der Kolk, BA (2014). The Body Keeps the Score: Brain, Mind, and Body in the Healing of Trauma. Penguin Books: New York.Google Scholar
van de Vijver, FJR (2007). Cultural and gender differences in gender-role beliefs, sharing household task and child-care responsibilities, and well-being among immigrants and majority members in The Netherlands. Sex Roles 57, 813824.Google Scholar
Yarcheski, A, Mahon, NE (2016). Meta-analyses of predictors of hope in adolescents. Western Journal of Nursing Research 38, 345368. Published online before print November 23, 2014. doi: 10.1177/0193945914559545.CrossRefGoogle ScholarPubMed
Zhang, J, Zhao, G, Li, X, Hong, Y, Fang, X, Barnett, D, Lin, X, Zhao, J, Zhang, L (2009). Positive future orientation as a mediator between traumatic events and mental health among children affected by HIV/AIDS in rural China. AIDS Care 21, 15081516.Google Scholar
Zolotor, AJ, Runyan, DK, Dunne, MP, Jain, D, Peturs, HR, Ramirez, C, Volkova, E, Deb, S, Lidchi, V, Muhammad, T, Isaeva, O (2009). ISPCAN child abuse screening tool children's version (ICAST-C): instrument development and multi-national pilot testing. Child Abuse and Neglect 33, 833841.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Estimates of independent relationships between violence exposure, hope, and attitudes toward intimate partner violence (IPV)

Figure 1

Table 2. Effect of violence exposure and attitudes toward intimate partner violence (IPV) on hopea

Figure 2

Table 3. Effect of exposure to sexual violence and attitudes toward intimate partner violence (IPV) on hope, adjusteda,b